On some criteria for comparing aspect mining techniques

  • Authors:
  • Grigoreta Sofia Cojocar;Gabriela Şerban

  • Affiliations:
  • Babeş-Bolyai University, Cluj-Napoca, Romania;Babeş-Bolyai University, Cluj-Napoca, Romania

  • Venue:
  • Proceedings of the 3rd workshop on Linking aspect technology and evolution
  • Year:
  • 2007

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Abstract

Many aspect mining techniques have already been proposed, even if aspect mining is a relatively new research domain. That is why the necessity to classify and to compare them has emerged. Not all the characteristics of the aspect mining techniques were considered as comparison criteria and very few generally applicable evaluation measures were proposed. This paper proposes a set of new criteria to compare the existing aspect mining techniques and a set of new evaluation measures to compare the results obtained by these techniques. The applicability of these measures for different aspect mining techniques is also discussed.